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Detection of Cloned Attacks in Connecting Media using Bernoulli RBM_RF Classifier (BRRC).
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- Multimedia Tools & Applications, 2024, v. 83, n. 31, p. 77029, doi. 10.1007/s11042-024-18650-w
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Optimal Deep Hybrid Boltzmann Machine Based Arabic Corpus Classification Model.
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- Computer Systems Science & Engineering, 2023, v. 46, n. 3, p. 2755, doi. 10.32604/csse.2023.034609
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Joint sentiment/topic modeling on text data using a boosted restricted Boltzmann Machine.
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- Multimedia Tools & Applications, 2019, v. 78, n. 15, p. 20637, doi. 10.1007/s11042-019-7427-5
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A video prediction approach for animating single face image.
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- Multimedia Tools & Applications, 2019, v. 78, n. 12, p. 16389, doi. 10.1007/s11042-018-6952-y
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- Article
Regional classification of Chinese folk songs based on CRF model.
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- Multimedia Tools & Applications, 2019, v. 78, n. 9, p. 11563, doi. 10.1007/s11042-018-6637-6
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A novel patch matching algorithm for exemplar-based image inpainting.
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- Multimedia Tools & Applications, 2018, v. 77, n. 9, p. 10807, doi. 10.1007/s11042-017-5077-z
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Uni- and multimodal methods for single- and multi-label recognition.
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- Multimedia Tools & Applications, 2017, v. 76, n. 21, p. 22405, doi. 10.1007/s11042-017-4733-7
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Unsupervised deep learning for real-time assessment of video streaming services.
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- Multimedia Tools & Applications, 2017, v. 76, n. 21, p. 22303, doi. 10.1007/s11042-017-4831-6
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Forecasting large scale conditional volatility and covariance using neural network on GPU.
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- Journal of Supercomputing, 2013, v. 63, n. 2, p. 490, doi. 10.1007/s11227-012-0827-1
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- Article
Multi-objective optimization of process parameters in stamping based on an improved RBM–BPNN network and MOPSO algorithm.
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- Structural & Multidisciplinary Optimization, 2021, v. 64, n. 6, p. 4209, doi. 10.1007/s00158-021-03056-1
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Accelerated topology optimization by means of deep learning.
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- Structural & Multidisciplinary Optimization, 2020, v. 62, n. 3, p. 1185, doi. 10.1007/s00158-020-02545-z
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- Article
基于深度玻尔兹曼机的工业机器人 齿轮箱故障诊断.
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- Journal of Ordnance Equipment Engineering, 2023, v. 44, n. 4, p. 163, doi. 10.11809/bqzbgcxb2023.04.023
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Mapping the susceptibility to landslides based on the deep belief network: a case study in Sichuan Province, China.
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- Natural Hazards, 2020, v. 103, n. 3, p. 3239, doi. 10.1007/s11069-020-04128-z
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Mode-assisted unsupervised learning of restricted Boltzmann machines.
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- Communications Physics, 2020, v. 3, n. 1, p. 1, doi. 10.1038/s42005-020-0373-8
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A Study on Visualizing Feature Extracted from Deep Restricted Boltzmann Machine using PCA.
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- International Journal of Computer Information Systems & Industrial Management Applications, 2016, v. 8, p. 67
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基于大津算法和深度学习的开集 声纹识别自适应阈值计算方法.
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- Journal of Jilin University (Science Edition) / Jilin Daxue Xuebao (Lixue Ban), 2021, v. 59, n. 4, p. 909, doi. 10.13413/j.cnki.jdxblxb.2020171
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Pseudo Temperature of Observed Data.
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- Interdisciplinary Information Sciences, 2012, v. 18, n. 2, p. 185, doi. 10.4036/iis.2012.185
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Seven neurons memorizing sequences of alphabetical images via spike-timing dependent plasticity.
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- Scientific Reports, 2015, p. 14149, doi. 10.1038/srep14149
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RBMMMDA: predicting multiple types of disease-microRNA associations.
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- Scientific Reports, 2015, p. 13877, doi. 10.1038/srep13877
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Global implicit function theorems and the online expectation–maximisation algorithm.
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- Australian & New Zealand Journal of Statistics, 2022, v. 64, n. 2, p. 255, doi. 10.1111/anzs.12356
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- Article
Energy-based Neural Networks as a Tool for Harmony-based Virtual Screening.
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- Molecular Informatics, 2017, v. 36, n. 11, p. n/a, doi. 10.1002/minf.201700054
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- Article
A New Deep Learning Restricted Boltzmann Machine for Energy Consumption Forecasting.
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- Sustainability (2071-1050), 2022, v. 14, n. 16, p. 10081, doi. 10.3390/su141610081
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Soil Moisture Retrieval Using Microwave Remote Sensing Data and a Deep Belief Network in the Naqu Region of the Tibetan Plateau.
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- Sustainability (2071-1050), 2021, v. 13, n. 22, p. 12635, doi. 10.3390/su132212635
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A Hybrid Model for Addressing the Relationship between Financial Performance and Sustainable Development.
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- Sustainability (2071-1050), 2019, v. 11, n. 10, p. 2899, doi. 10.3390/su11102899
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- Article
State of health prediction of medical lithium batteries based on multi-scale decomposition and deep learning.
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- Advances in Mechanical Engineering (Sage Publications Inc.), 2020, v. 12, n. 5, p. 1, doi. 10.1177/1687814020923202
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An improved advertising CTR prediction approach based on the fuzzy deep neural network.
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- PLoS ONE, 2018, v. 13, n. 5, p. 1, doi. 10.1371/journal.pone.0190831
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Analyzing market baskets by restricted Boltzmann machines.
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- OR Spectrum, 2014, v. 36, n. 1, p. 209, doi. 10.1007/s00291-012-0303-6
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Innovative continuous non-invasive cuffless blood pressure monitoring based on photoplethysmography technology.
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- Intensive Care Medicine, 2013, v. 39, n. 9, p. 1618, doi. 10.1007/s00134-013-2964-2
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Study on logging interpretation of coal-bed methane content based on deep learning.
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- Acta Geophysica, 2019, v. 67, n. 2, p. 589, doi. 10.1007/s11600-019-00245-x
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- Article
Learning Document Semantic Representation with Hybrid Deep Belief Network.
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- Computational Intelligence & Neuroscience, 2015, v. 2015, p. 1, doi. 10.1155/2015/650527
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adabmDCA: adaptive Boltzmann machine learning for biological sequences.
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- BMC Bioinformatics, 2021, v. 22, n. 1, p. 1, doi. 10.1186/s12859-021-04441-9
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Computational design of novel Cas9 PAM-interacting domains using evolution-based modelling and structural quality assessment.
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- PLoS Computational Biology, 2023, v. 19, n. 11, p. 1, doi. 10.1371/journal.pcbi.1011621
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Deep convolutional and conditional neural networks for large-scale genomic data generation.
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- PLoS Computational Biology, 2023, v. 19, n. 10, p. 1, doi. 10.1371/journal.pcbi.1011584
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A role for cortical interneurons as adversarial discriminators.
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- PLoS Computational Biology, 2023, v. 19, n. 9, p. 1, doi. 10.1371/journal.pcbi.1011484
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Multiple Profile Models Extract Features from Protein Sequence Data and Resolve Functional Diversity of Very Different Protein Families.
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- Molecular Biology & Evolution, 2022, v. 39, n. 4, p. 1, doi. 10.1093/molbev/msac070
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Deep neural network‐based mechanical behavior analysis for various masonry infill walls with hybrid fiber mortar.
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- Structural Concrete, 2019, v. 20, n. 6, p. 1974, doi. 10.1002/suco.201900064
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Centered convolutional deep Boltzmann machine for 2D shape modeling.
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- Personal & Ubiquitous Computing, 2022, v. 26, n. 4, p. 913, doi. 10.1007/s00779-020-01487-z
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- Article
Enhanced Jaya Optimization Algorithm with Deep Learning Assisted Oral Cancer Diagnosis on IoT Healthcare Systems.
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- Journal of Intelligent Systems & Internet of Things, 2024, v. 11, n. 2, p. 97, doi. 10.54216/JISIoT.110209
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Conditional restricted Boltzmann machine as a generative model for body-worn sensor signals.
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- IET Signal Processing (Wiley-Blackwell), 2020, v. 14, n. 10, p. 725, doi. 10.1049/iet-spr.2020.0154
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Visual inspection for transformer insulation defects by a patrol robot fish based on deep learning.
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- IET Science, Measurement & Technology (Wiley-Blackwell), 2021, v. 15, n. 7, p. 606, doi. 10.1049/smt2.12062
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Applying a Quantum Annealing Based Restricted Boltzmann Machine for MNIST Handwritten Digit Classification.
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- Computational Methods in Science & Technology, 2021, v. 27, n. 3, p. 99, doi. 10.12921/cmst.2021.0000011
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- Article
Insider threat detection of adaptive optimization DBN for behavior logs.
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- Turkish Journal of Electrical Engineering & Computer Sciences, 2018, v. 26, n. 2, p. 792, doi. 10.3906/elk-1706-163
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- Article
Content-based Image Retrieval Using the 2-Dimensional Convolutional Neural Network.
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- International Journal of Intelligent Engineering & Systems, 2024, v. 17, n. 4, p. 67, doi. 10.22266/ijies2024.0831.06
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- Article
Web Page Recommendation System Based on Text and Image Pattern Extraction Classification Model.
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- International Journal of Intelligent Engineering & Systems, 2023, v. 16, n. 1, p. 328, doi. 10.22266/ijies2023.0228.29
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TFCMA-DRL: Tolerant Flexible Coordinated Multi-Agent Deep Reinforcement Learning for Prediction of Future Stock Price Trends from Multi-Source Data.
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- International Journal of Intelligent Engineering & Systems, 2021, v. 14, n. 2, p. 33, doi. 10.22266/ijies2021.0430.04
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Physical Fitness Recommender Framework for Thyroid Patients using Restricted Boltzmann Machines.
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- International Journal of Intelligent Engineering & Systems, 2020, v. 13, n. 5, p. 247, doi. 10.22266/ijies2020.1031.22
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- Article
Numerical Investigation on Droplet Impact and Freezing.
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- Transactions of Nanjing University of Aeronautics & Astronautics, 2023, v. 40, n. 2, p. 179, doi. 10.16356/j.1005-1120.2023.02.007
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- Article
WIND POWER PREDICTION BASED ON DEEP LEARNING METHOD AND ITS UNCERTAINTY.
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- Journal of the Balkan Tribological Association, 2015, v. 21, n. 4-A, p. 1166
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An Efficient Method for Pricing Analysis Based on Neural Networks.
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- Risks, 2022, v. 10, n. 8, p. 151, doi. 10.3390/risks10080151
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Performance Analysis Using a Deep Belief Network by a Self-Organizing Map.
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- International Journal of Computational Intelligence & Applications, 2021, v. 20, n. 1, p. N.PAG, doi. 10.1142/S1469026821500073
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- Article